Everything about AI Hackathon
Everything about AI Hackathon
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Submit training quantization of Granite-three.0-8B-Instruct in Python with watsonx Quantize a pre-experienced model in several various ways to point out the size with the models and Assess how they accomplish on the undertaking
Each individual division will likely have a successful workforce and runner-up. The general best Alternative and team will be picked out across all three divisions.
We endorse aquiring a group of four – 6 individuals to work with each other on the hackathon and Create out your product. Once you've a staff and an strategy for what your job will be, you may register on the backlink right here.
Read through Granite for code documentation Get code designs on Hugging Face Granite for time series Light-weight and pre-educated for time-series forecasting, optimized to run successfully throughout A variety of hardware configurations.
A breakdown of prizes is shown down below (Be aware: There might be extra prizes included in Each individual division from sponsors that signal-on on the party, leading up for the Kick-Off function).
0 Our third generation of AI language designs are right here. In good shape for reason and open sourced, these business-Completely ready models produce Extraordinary efficiency towards protection benchmarks and throughout an array of enterprise jobs from cybersecurity to RAG.
Workshops can introduce contributors towards the hackathon's subject matter or unique technical capabilities. Individuals could also explore AI-similar issues in workshops. It is best to produce them interactive.
To make a chatbot, the members will require to find out Python, AI, and NLP. Person messages needs to be identified and responded to as acceptable. The chance to reply to various messages makes your hackathon application jump out.
Prepare your funds initial to determine just how much you have to raise in sponsorship service fees. Then get started securing AI hackathon sponsors early.
Predictive Analytics read more for Source Administration: AI can forecast client admission premiums, lengths of stay, and useful resource requirements (like staffing or supplies). This assists in much better setting up and makes sure that the nursing staff is neither overworked nor underutilized.
Can the answer be scaled up to take care of bigger volumes of data and use without significant degradation in functionality?
A short while ago I’ve been super amazed with Cody, and am applying it frequently. It’s Specially fantastic at answering questions about huge repos.
Imagine if I have a pre-constructed Resolution which i’d wish to bring towards the hackathon and showcase as Element of my crew’s use circumstance choice?
Does the job showcase Resourceful pondering in how generative AI is applied to the targeted area?